Exploratory Data Analysis: Electric Power Consumption

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Exploratory Data Analysis by Johns Hopkins University on Coursera

https://www.coursera.org/learn/exploratory-data-analysis

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Electric power consumption

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  • 2,075,259 ๅ€‹่ง€ๆธฌๅ€ผ่ˆ‡ 9 ๅ€‹่ฎŠๆ•ธ
  • ๅช้œ€่ฆไฝฟ็”จ 2007-02-01 ่ˆ‡ 2007-02-02 ้€™ๅ…ฉๅคฉ็š„่ณ‡ๆ–™
  • ้บๆผๅ€ผ่ขซ่จ˜้Œ„็‚บ โ€˜?โ€™

่ฎŠๆ•ธ่ณ‡่จŠไธŠ

  • Date: Date in format dd/mm/yyyy
  • Time: time in format hh:mm:ss
  • Global_active_power: household global minute-averaged active power (in kilowatt)
  • Global_reactive_power: household global minute-averaged reactive power (in kilowatt)
  • Voltage: minute-averaged voltage (in volt)
  • Global_intensity: household global minute-averaged current intensity (in ampere)

่ฎŠๆ•ธ่ณ‡่จŠไธ‹

  • Sub_metering_1: energy sub-metering No. 1 (in watt-hour of active energy). It corresponds to the kitchen, containing mainly a dishwasher, an oven and a microwave (hot plates are not electric but gas powered).
  • Sub_metering_2: energy sub-metering No. 2 (in watt-hour of active energy). It corresponds to the laundry room, containing a washing-machine, a tumble-drier, a refrigerator and a light.
  • Sub_metering_3: energy sub-metering No. 3 (in watt-hour of active energy). It corresponds to an electric water-heater and an air-conditioner.

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